%0 Conference Paper %1 bojarczuk:2001:idamap %A Bojarczuk, Celia C. %A Lopes, Heitor S. %A Freitas, Alex A. %B Proceedings Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2001) %D 2001 %K Constrained-Syntax Genetic Programming algorithms, applications, classification, data genetic medical mining, programming, %T Data mining with constrained-syntax genetic programming: applications to medical data sets %U http://citeseer.ist.psu.edu/459555.html %X This work is intended to discover classification rules for diagnosing certain pathologies. In order to discover these rules we have developed a new constrained-syntax genetic programming algorithm based on some concepts of data mining, particularly with emphasis on the discovery of comprehensible knowledge. We compare the performance of the proposed GP algorithm with a genetic algorithm and with the very well-known decision-tree algorithm C4.5.

@inproceedings{bojarczuk:2001:idamap, abstract = {This work is intended to discover classification rules for diagnosing certain pathologies. In order to discover these rules we have developed a new constrained-syntax genetic programming algorithm based on some concepts of data mining, particularly with emphasis on the discovery of comprehensible knowledge. We compare the performance of the proposed GP algorithm with a genetic algorithm and with the very well-known decision-tree algorithm C4.5.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Bojarczuk, Celia C. and Lopes, Heitor S. and Freitas, Alex A.}, biburl = {https://www.bibsonomy.org/bibtex/293a16e6bc9c9aecb68bf3ae2cbf3c284/brazovayeye}, booktitle = {Proceedings Intelligent Data Analysis in Medicine and Pharmacology (IDAMAP-2001)}, interhash = {e53557f9d64a68a7dfb26732f7d2159a}, intrahash = {93a16e6bc9c9aecb68bf3ae2cbf3c284}, keywords = {Constrained-Syntax Genetic Programming algorithms, applications, classification, data genetic medical mining, programming,}, note = {a workshop at MedInfo-2001}, notes = {IDAMAP workshop http://www.ailab.si/idamap/idamap2001/ Evolves IFTHEN rules. GP syntax contrained similar to STGP. Size of rules used as component of fitness function (actually product of sensitivity, specificity and size releated coefficient. Demonstrated on 3 small medical datasets (2 UCI).}, timestamp = {2008-06-19T17:36:44.000+0200}, title = {Data mining with constrained-syntax genetic programming: applications to medical data sets}, url = {http://citeseer.ist.psu.edu/459555.html}, year = 2001 }